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4021124 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | import json
import random
# sample preprocess_handler (to be implemented by customer)
# This is a trivial example, where we demonstrate an echo preprocessor for json data
# for others though, we are generating random data (real customers would not do that obviously/hopefully)
def preprocess_handler(inference_record):
event_data = inference_record.event_data
input_data = {}
output_data = {}
# If the input data is JSON encoded, the following code just echoes it back
if event_data.endpointInput.encoding == "JSON":
input_data = json.loads(event_data.endpointInput.data)
if event_data.endpointOutput.encoding == "JSON":
output_data = json.loads(event_data.endpointOutput.data)
# for non JSON data, this code just generates something random
# real customers would read the event_data and transform it into a json
if not input_data:
input_data["feature0"] = random.uniform(0, 1)
input_data["feature1"] = random.uniform(0, 1)
if not output_data:
output_data["prediction"] = random.uniform(0, 1)
return {**input_data, **output_data}
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